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Record W437255199

Family Caregiving for Older Disabled People: Relational and Institutional Issues

2006· book· en· W437255199 on OpenAlexaboutno aff
Isabella Paoletti

Bibliographic record

VenueMedical Entomology and Zoology · 2006
Typebook
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationContext (archaeology)Care workEthnic groupRestructuringFamily caregiversValue (mathematics)ImmigrationHealth carePsychologyNursingMedicinePolitical scienceWork (physics)GeographyLaw
DOInot available

Abstract

fetched live from OpenAlex

Introduction The intricacy of gender, moral, relational, financial and housing issues Economically unrational farm business families in Finland A pendular movement between the intergenerational pact and the exhaustion of support networks in Argentina A study of the care-giving role of the sandwich generation in Hong Kong Caregivers, Helpers, and Family: Family Care-giving Research in a Canadian Context Negotiations and room for manoeuvre in caring for an elderly parent Family care-giving when relationships are poor Men, Marriage and Care: Caring for a Partner with MS Mother-Daughter Relationships within the Care Process of Alzheimers Disease: The Daughters Perspective Long-distance Care-giving: Transnational Families and the Provision of Aged Care The reconstitution of need: Home-based care in the wake of Canadian health care restructuring Through Kith and Kin: Supporting the Family Caregiver for the Elderly Extracting the Essence of Formal Care giving: A Comparative Study of Formal Care Givers in English and German Care Homes The value of the work - On Employment for Family Care in Sweden Inter-professional decision making in elderly care: morality, criteria and help allocation Exploring the cultural borderlines of family care-giving in Finland Caregivers and Community Service Non-use in Australia Ethnicity and Care-giving: A case study in Great Britain Index.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.816
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.355
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations36
Published2006
Admission routes1
Has abstractyes

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